2218 search results - page 232 / 444 » Bayesian Treed Models |
140
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NIPS
2007
15 years 5 months ago
2007
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
140
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UAI
2003
15 years 5 months ago
2003
Currently, there is renewed interest in the problem, raised by Shafer in 1985, of updating probabilities when observations are incomplete (or setvalued). This is a fundamental pro...
172
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JCIT
2010
14 years 10 months ago
2010
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
136
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CAI
1998
Springer
15 years 3 months ago
1998
Springer
Abstract. Imaging is a class of non-Bayesian methods for the revision of probability density functions originally proposed as a semantics for conditional logic. Two of these revisi...
119
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ICIP
1995
IEEE
16 years 5 months ago
1995
IEEE
A 3D super-resolution algorithm is proposed below, based on a probabilistic interpretation of the ndimensional version of Papoulis' generalized sampling theorem. The algorith...